Efficiency Evaluation for Smart Grid Management Based on Stochastic Frontier Model and Data Envelope Analyses Model

Table 1

Data collection.

Order	Power company	Input amount					Output amount
		(1) Power grid investment (ten thousand yuan)	(2) Infrastructure Investment (ten thousand yuan)	(3) Technological investment (ten thousand yuan)	(4) Marketing investment (ten thousand yuan)	(5) Information technology (ten thousand yuan)	(1) Total profit (ten thousand yuan)	(2) Electricity sales (million kwh)	(3) Purchase price difference (Y/ thousand kwh)
1	Fujian	1260422	1158031	69000	153615	17139	239868	1397.80	214.16
2	Tianjin	620911	547966	22845	111471	12491	95404	6078.01	237.29
3	Hebei	912164	850828	40977	118861	13541	89700	13908.74	210.08
4	Jiangsu	2977447	2765963	121570	388372	17518	686197	38488.39	152.91
5	Shandong	2804030	2615571	107399	283868	18150	595476	32978.29	123.09
6	Shanghai	1079683	628907	128095	153731	29877	110202	11174.96	224.62
7	Shanxi	926989	807855	46466	185648	13989	88613	16295.99	126.32
8	Zhejiang	2290509	2134974	99994	239306	18355	588559	28026.15	217.98
9	Anhui	1125446	961436	107345	126241	15914	75821	1250.51	191.20
10	Beijing	643251	594054	28141	132705	14041	152093	7920.60	206.48
11	Hubei	1136556	1008999	53240	171112	17442	71546	1190.21	196.62
12	Hunan	891914	776652	45236	155489	16123	71723	961.89	200.39
13	Henan	1387564	1258219	87000	122140	18701	126149	2399.22	112.26
14	Jiangxi	877297	800046	22470	102954	16176	65327	730.40	252.21
15	Sichuan	2838232	2592478	157049	181748	19244	99523	180.40	159.64

Data source: Transportation Monitoring Center of State Grid Corporation of China.